Fractional factorial assessment of the effects of missingness

This submission contains the data (in .csv and .mat format) and source
code (.m file compatible with MATLAB) to reproduce the analysis of the
bone marrow data in Section 4. It also contains a README file explaining
the variable names. The source code replaces missing entries by
combinations of high and low values according to a fractional factorial
structure for the estimation of the main effects of missingness and fits a
logistic regression model using each of the resulting sets of
factorially-completed covariate data. Estimated regression coefficients
and their standard errors are stored, and the effects of missingness
presented as in Tables 2 and 3 of the paper.